Journal of Preventive Medicine and Public Health

Jeoungbin Choi

4 Articles

Projection of Cancer Incidence and Mortality From 2020 to 2035 in the Korean Population Aged 20 Years and Older: Youjin Hong, Sangjun Lee, Sungji Moon, Soseul Sung, Woojin Lim, Kyungsik Kim, Seokyung An, Jeoungbin Choi, Kwang-Pil Ko, Inah Kim, Jung Eun Lee, Sue K. Park; J Prev Med Public Health. 2022;55(6):529-538. Published online October 17, 2022; DOI: https://doi.org/10.3961/jpmph.22.128

5,824 View
230 Download
5 Crossref

Abstract Summary PDF Supplementary Material

Objectives
This study aimed to identify the current patterns of cancer incidence and estimate the projected cancer incidence and mortality between 2020 and 2035 in Korea.
Methods
Data on cancer incidence cases were extracted from the Korean Statistical Information Service from 2000 to 2017, and data on cancer-related deaths were extracted from the National Cancer Center from 2000 to 2018. Cancer cases and deaths were classified according to the International Classification of Diseases, 10th edition. For the current patterns of cancer incidence, age-standardized incidence rates (ASIRs) and age-standardized mortality rates were investigated using the 2000 mid-year estimated population aged over 20 years and older. A joinpoint regression model was used to determine the 2020 to 2035 trends in cancer.
Results
Overall, cancer cases were predicted to increase from 265 299 in 2020 to 474 085 in 2035 (growth rate: 1.8%). The greatest increase in the ASIR was projected for prostate cancer among male (7.84 vs. 189.53 per 100 000 people) and breast cancer among female (34.17 vs. 238.45 per 100 000 people) from 2000 to 2035. Overall cancer deaths were projected to increase from 81 717 in 2020 to 95 845 in 2035 (average annual growth rate: 1.2%). Although most cancer mortality rates were projected to decrease, those of breast, pancreatic, and ovarian cancer among female were projected to increase until 2035.
Conclusions
These up-to-date projections of cancer incidence and mortality in the Korean population may be a significant resource for implementing cancer-related regulations or developing cancer treatments.

Summary

Korean summary
최근 고령화 시대로 접어들고 암의 위험요인들에 대한 노출률이 변화함에 따라 암의 발생률 및 사망률에 대해서 관찰하는 것은 중요한 일이 되었다. 따라서, 본 연구는 한국인에서 2035년까지의 암에 대한 발생률과 사망률을 Joinpoint regression 모델을 이용하여 예측하였다. 남성에서는 전립선암, 여성에서는 유방암이 연령표준화 발생률이 가장 높았으며 대부분의 연령표준화 사망률은 감소하는 것으로 예상되지만 여성의 유방암, 췌장암, 난소암이 증가될 것으로 예상된다.

Citations

Citations to this article as recorded by

Preventable Cancers Caused by Infection in Korea From 2015 to 2030
Sungji Moon, Jeoungbin Choi, Soseul Sung, Youjin Hong, Kwang-Pil Ko, Jung Eun Lee, Inah Kim, Seungho Ryu, Sun Ha Jee, Guen Hui Kim, Sun Young Yang, Aesun Shin, Sun-Seog Kweon, Jeongseon Kim, Jieun Jang, Sangjun Lee, Kyungsik Kim, Woojin Lim, Yoon-Jung Cho
Journal of Korean Medical Science.2025;[Epub] CrossRef
A Comparison of Green, Delta, and Monte Carlo Methods to Select an Optimal Approach for Calculating the 95% Confidence Interval of the Population-attributable Fraction: Guidance for Epidemiological Research
Sangjun Lee, Sungji Moon, Kyungsik Kim, Soseul Sung, Youjin Hong, Woojin Lim, Sue K. Park
Journal of Preventive Medicine and Public Health.2024; 57(5): 499. CrossRef
Comparison of Population Attributable Fractions of Cancer Incidence and Mortality Linked to Excess Body Weight in Korea from 2015 to 2030
Youjin Hong, Jihye An, Jeehi Jung, Hyeon Sook Lee, Soseul Sung, Sungji Moon, Inah Kim, Jung Eun Lee, Aesun Shin, Sun Ha Jee, Sun-Seog Kweon, Min-Ho Shin, Sangmin Park, Seung-Ho Ryu, Sun Young Yang, Seung Ho Choi, Jeongseon Kim, Sang-Wook Yi, Yoon-Jung Cho
Endocrinology and Metabolism.2024; 39(6): 921. CrossRef
A Machine Learning Model for Prostate Cancer Prediction in Korean Men
Sukjung Choi, Beomgi So, Shane Oh, Hongzoo Park, Sang Wook Lee, Geehyun Song, Jong Min Lee, Jung Ki Jo, Seon Hyeok Kim, Si Eun Lee, Eun-Bi Cho, Jae Hung Jung, Jeong Hyun Kim
Journal of Urologic Oncology.2024; 22(3): 201. CrossRef
Changes in metabolic syndrome and the risk of breast and endometrial cancer according to menopause in Korean women
Thi Xuan Mai Tran, Soyeoun Kim, Boyoung Park
Epidemiology and Health.2023; 45: e2023049. CrossRef

Social and Policy Determinants of COVID-19 Infection Across 23 Countries: An Ecological Study: Kyungsik Kim, Young-Do Jeung, Jeoungbin Choi, Sue K. Park; J Prev Med Public Health. 2022;55(2):144-152. Published online February 10, 2022; DOI: https://doi.org/10.3961/jpmph.21.396

5,060 View
154 Download
8 Web of Science
7 Crossref

Abstract Summary PDF Supplementary Material

Objectives
This study aimed to identify the social and policy determinants of coronavirus disease 2019 (COVID-19) infection across 23 countries.
Methods
COVID-19 indicators (incidence, mortality, and fatality) for each country were calculated by direct and indirect standardization. Multivariable regression analyses were used to identify the social and policy determinants of COVID-19 infection.
Results
A higher number of doctors per population was related to lower incidence, mortality, and fatality rates of COVID-19 in 23 countries (β=-0.672, -0.445, and -0.564, respectively). The number of nurses/midwives per population was associated with lower mortality and fatality rates of COVID-19 in 23 countries (β=-0.215 and -0.372, respectively). Strengthening of policy restriction indicators, such as restrictions of public gatherings, was related to lower COVID-19 incidence (β=-0.423). A national Bacillus Calmette–Guérin vaccination policy conducted among special groups or in the past was associated with a higher incidence of COVID-19 in 23 countries (β=0.341). The proportion of the elderly population (aged over 70 years) was related to higher mortality and fatality rates (β=0.209 and 0.350, respectively), and income support was associated with mortality and fatality rates (β=-0.362 and -0.449, respectively).
Conclusions
These findings do not imply causality because this was a country-based correlation study. However, COVID-19 transmission can be influenced by social and policy determinants such as integrated health systems and policy responses to COVID-19. Various social and policy determinants should be considered when planning responses to COVID-19.

Summary

Korean summary
본 연구는 23개국의 코로나 19 감염 지표 (발생, 사망, 치명)과 관련있는 사회적, 정책적 요소를 확인하고자 하는생태학적 연구이다. 이는 코로나 19 감염 지표에 대한 인과성을 제시하는 연구가 아니기에 주의 깊은 해석이 필요하며 본 연구에서 제시한 사회적, 정책적 요소를 통해 코로나 19 감염에 대한 국가적인 정책을 고려할 수 있을 것으로 기대된다.

Citations

Citations to this article as recorded by

Impact of COVID-19 on admission and in-hospital mortality of patients with acute myocardial infarction in Korea: An interrupted time series analysis
Soo-Hee Hwang, Youngs Chang, Haibin Bai, Jieun Yun, Hyejin Lee, Jin Yong Lee, Dong Keon Yon
PLOS ONE.2025; 20(2): e0316943. CrossRef
The Impact of COVID-19 on Admissions and In-hospital Mortality of Patients With Stroke in Korea: An Interrupted Time Series Analysis
Youngs Chang, Soo-Hee Hwang, Haibin Bai, Seowoo Park, Eunbyul Cho, Dohoung Kim, Hyejin Lee, Jin Yong Lee
Journal of Preventive Medicine and Public Health.2025; 58(1): 60. CrossRef
COVID 19 mortality as a reflection of the quality of health in EU countries
Beáta Stehlíková, Zuzana Vincúrová, Ivan Brezina, Ilona Švihlíková
Economics & Sociology.2023; 16(3): 138. CrossRef
Social and Policy Determinants of COVID-19
Rujittika Mungmunpuntipantip, Viroj Wiwanitkit
Journal of Preventive Medicine and Public Health.2022; 55(3): 307. CrossRef
Social and Policy Determinants of COVID-19 Infection Across 23 Countries: An Ecological Study
Kyungsik Kim, Sue K. Park
Journal of Preventive Medicine and Public Health.2022; 55(3): 308. CrossRef
Country-level and regional COVID-19 burden and determinants across OECD member states and partner countries
Nlandu Roger Ngatu, Kazuto Tayama, Kanae Kanda, Tomohiro Hirao
Environmental Health and Preventive Medicine.2022; 27: 41. CrossRef
The association between tobacco or nicotine product use behaviors and non-compliance with mask-wearing during the COVID-19 pandemic: a cross-sectional study in Korea
Da-eun Lee, Heewon Kang, Sung-il Cho
Epidemiology and Health.2022; 44: e2022087. CrossRef

Health Indicators Related to Disease, Death, and Reproduction: Jeoungbin Choi, Moran Ki, Ho Jang Kwon, Boyoung Park, Sanghyuk Bae, Chang-Mo Oh, Byung Chul Chun, Gyung-Jae Oh, Young Hoon Lee, Tae-Yong Lee, Hae Kwan Cheong, Bo Youl Choi, Jung Han Park, Sue K. Park; J Prev Med Public Health. 2019;52(1):14-20. Published online January 23, 2019; DOI: https://doi.org/10.3961/jpmph.18.250

15,134 View
246 Download
19 Crossref

Abstract Summary PDF Supplementary Material

One of the primary goals of epidemiology is to quantify various aspects of a population’s health, illness, and death status and the determinants (or risk factors) thereof by calculating health indicators that measure the magnitudes of various conditions. There has been some confusion regarding health indicators, with discrepancies in usage among organizations such as the World Health Organization the, Centers for Disease Control and Prevention (CDC), and the CDC of other countries, and the usage of the relevant terminology may vary across papers. Therefore, in this review, we would like to propose appropriate terminological definitions for health indicators based on the most commonly used meanings and/or the terms used by official agencies, in order to bring clarity to this area of confusion. We have used appropriate examples to make each health indicator easy for the reader to understand. We have included practical exercises for some health indicators to help readers understand the underlying concepts.

Summary

Korean summary
본 논문에서는 질병과 사망, 출생 관련 지표들의 개념과 종류를 설명하고, 특히 연구자들이 흔히 혼동하여 사용하는 지표들에 대한 적절한 정의를 제시하였다. 또한 지표들의 예시를 부록으로 수록하여 독자들이 지표의 개념을 보다 쉽게 습득하도록 돕고자 하였다.

Citations

Citations to this article as recorded by

Cardiometabolic deaths in black and white men: Tracing the risks from early- to mid-adulthood
Rebecca Arden Harris, Sameed Ahmed M. Khatana, Judith A. Long
Preventive Medicine Reports.2025; 51: 102997. CrossRef
Dying whilst on probation: a scoping review of mortality amongst those under community justice supervision
SE Perrett, C Craddock, BJ Gray
Perspectives in Public Health.2024;[Epub] CrossRef
Preschool and child health: Evidence from China's universal child care reform
Meiqing Ren
Economics of Education Review.2024; 100: 102540. CrossRef
Understanding demographic events and migration patterns in two urban slums of Nairobi City in Kenya
Evans Omondi, Samuel Iddi, Sharon Chepkemoi, Bylhah Mugotitsa, Steve Cygu, Boscow Okumu, Abdhalah Ziraba, Damazo T. Kadengye, Agnes Kiragga
Scientific Reports.2024;[Epub] CrossRef
Prevalence of users of medication targeting obstructive lung disease, the reasons for prescriptions and the use of spirometry in Upernavik Health Center in the period from 2011-2016, a retrospective observational study as basis for future quality developm
Hans Kallerup, Mette Bordinggaard Brøndserud
International Journal of Circumpolar Health.2022;[Epub] CrossRef
On the severity of COVID‐19 infections in 2021 in Italy
Fabio Divino, Antonello Maruotti, Alessio Farcomeni, Giovanna Jona‐Lasinio, Gianfranco Lovison, Massimo Ciccozzi
Journal of Medical Virology.2022; 94(4): 1281. CrossRef
High-risk landscapes of Japanese encephalitis virus outbreaks in India converge on wetlands, rain-fed agriculture, wild Ardeidae, and domestic pigs and chickens
Michael G Walsh, Amrita Pattanaik, Navya Vyas, Deepak Saxena, Cameron Webb, Shailendra Sawleshwarkar, Chiranjay Mukhopadhyay
International Journal of Epidemiology.2022; 51(5): 1408. CrossRef
Using correlation analysis to examine the impact of Covid-19 pandemics on various socioeconomic aspects: Case study of Indonesia
Fitriadi Fitriadi, Jiuhardi Jiuhardi, Arfiah Busari, Yana Ulfah, Hakim Permadi, Erwin Kurniawan, Dio Darma
Geographica Pannonica.2022; 26(2): 128. CrossRef
Mortality among psychiatric inpatients in China: A national survey
Xiaodong Wu, Lei Xia, Yating Yang, Ling Zhang, Mengdie Li, Tingfang Liu, Yuanli Liu, Robert O. Cotes, Feng Jiang, Yi-lang Tang, Huanzhong Liu
Asian Journal of Psychiatry.2022; 77: 103262. CrossRef
Mortality Analysis During July & September 2022 At Benazir Bhutto Hospital Rawalpindi
Rizwana Shahid, Sadia Khan, Rabbia Khalid, Muhammad Umar, Shaikh Abdul Rehman, Nargis Zaidi
Pakistan Journal of Health Sciences.2022; : 40. CrossRef
Predicción del índice de mortalidad por enfermedad cardiovascular mediante la caminata al azar probabilista
Javier Rodríquez Velásquez, Ediltrudis Ramos de la Cruz, Jairo Javier Jattin Balcázar, Jorge Gómez Rojas, Ribká Soracipa Muñoz
Revista de Salud Pública.2022; 24(5): 1. CrossRef
Low mammalian species richness is associated with Kyasanur Forest disease outbreak risk in deforested landscapes in the Western Ghats, India
Michael G. Walsh, Rashmi Bhat, Venkatesh Nagarajan-Radha, Prakash Narayanan, Navya Vyas, Shailendra Sawleshwarkar, Chiranjay Mukhopadhyay
One Health.2021; 13: 100299. CrossRef
Mortality and complications of scrub typhus in the paediatric population: a systematic review and meta-analysis
Kaushik Mukhopadhyay, Samir Chakrabarty, Chandan Chatterjee, Saheli Chatterjee Misra
Transactions of The Royal Society of Tropical Medicine and Hygiene.2021; 115(11): 1234. CrossRef
Relation between molar-incisor hypomineralization (MIH) occurrence and war pollutants in bombarded regions
R Elzein, E Chouery, F Abdel-Sater, R Bacho, F Ayoub
Nigerian Journal of Clinical Practice.2021; 24(12): 1808. CrossRef
Use of Population-Based Surveys for Estimating the Population Size of Persons Who Inject Drugs in the United States
Heather Bradley, Elizabeth M Rosenthal, Meredith A Barranco, Tomoko Udo, Patrick S Sullivan, Eli S Rosenberg
The Journal of Infectious Diseases.2020; 222(Supplement): S218. CrossRef
Whence the next pandemic? The intersecting global geography of the animal-human interface, poor health systems and air transit centrality reveals conduits for high-impact spillover
Michael G. Walsh, Shailendra Sawleshwarkar, Shah Hossain, Siobhan M. Mor
One Health.2020; 11: 100177. CrossRef
The Impact of COVID-19 on African American Communities in the United States
Elena Cyrus, Rachel Clarke, Dexter Hadley, Zoran Bursac, Mary Jo Trepka, Jessy G. Dévieux, Ulas Bagci, Debra Furr-Holden, Makella Coudray, Yandra Mariano, Sandra Kiplagat, Ines Noel, Gira Ravelo, Michelle Paley, Eric F. Wagner
Health Equity.2020; 4(1): 476. CrossRef
SAĞLIK RİSK FAKTÖRLERİNE GÖRE ÜLKELERİN KÜMELENMESİ VE ÇOK KRİTERLİ KARAR VERME TEKNİKLERİYLE SAĞLIK DURUMU GÖSTERGELERİNİN ANALİZİ
Faruk YILMAZ, Selma SÖYÜK
Sosyal Guvence.2020;[Epub] CrossRef
Prohibition on Changing Workplaces and Fatal Occupational Injuries among Chinese Migrant Workers in South Korea
Ju-Yeun Lee, Sung-il Cho
International Journal of Environmental Research and Public Health.2019; 16(18): 3333. CrossRef

Blood Pressure and the Risk of Death From Non-cardiovascular Diseases: A Population-based Cohort Study of Korean Adults: Jeoungbin Choi, Jieun Jang, Yoonsuk An, Sue K. Park; J Prev Med Public Health. 2018;51(6):298-309. Published online November 14, 2018; DOI: https://doi.org/10.3961/jpmph.18.212

8,511 View
145 Download
3 Crossref

Abstract Summary PDF Supplementary Material

Objectives
The objective of this study was to assess the relationship between systolic and diastolic blood pressure (SBP, DBP) and the risk of death from specific causes other than cardiovascular diseases.
Methods
We calculated the risk of specific death by SBP and DBP categories for 506 508 health examinees in 2002-2003 using hazard ratios (HRs) and 95% confidence intervals (CIs) in a Cox proportional hazards model.
Results
Compared to normal levels (SBP <120 or DBP <90 mmHg), stage I systolic and diastolic hypertension (SBP 140-159, DBP 85- 89 mmHg, respectively) were associated with an increased risk of death from diabetes mellitus, alcoholic liver disease, and renal failure (HR, 1.83; 95% CI, 1.51 to 2.22; HR, 1.24; 95% CI, 1.06 to 1.46; HR, 2.30; 95% CI, 1.64 to 3.21; HR, 1.67; 95% CI, 1.27 to 2.20; HR, 1.99; 95% CI, 1.41 to 2.81; HR, 1.31; 95% CI, 0.99 to 1.73, respectively), but a decreased risk of death from intestinal pneumonia (HR, 0.64; 95% CI, 0.42 to 0.98; HR, 0.59; 95% CI, 0.39 to 0.91). Only stage II systolic hypertension (SBP ≥160 mmHg) was associated with an increased risk of death from pneumonia, liver cirrhosis, and intestinal ischemia (HR, 1.54; 95% CI, 1.19 to 1.98; HR, 1.46; 95% CI, 1.00 to 2.15; HR, 3.77; 95% CI, 1.24 to 11.40, respectively), and stage I and II diastolic hypertension (SBP 140-159 and ≥160 mmHg) were associated with an increased risk of death from intestinal ischemia (HR, 3.07; 95% CI, 1.27 to 7.38; HR, 4.39; 95% CI, 1.62 to 11.88, respectively).
Conclusions
An increase in blood pressure levels may alter the risk of death from certain causes other than cardiovascular diseases, a well-known outcome of hypertension, although the mechanism of these associations is not well documented.

Summary

Korean summary
2002년 및 2003년 한국 국민건강보험공단 건강검진 수검자 코호트(NHIS-HEALS) 중 506,508명을 대상으로 2013년 말일까지의 통계청 사망자료 기반 심뇌혈관질환을 제외한 기타 사망원인으로의 사망위험을 콕스회귀모형으로 분석한 결과에서 1단계 수축기 고혈압 군과 1단계 이완기 고혈압 군에서 당뇨, 알코올성 간질환, 콩팥부전 사망의 위험도가 통계적으로 유의하게 증가함을 보인 반면, 간질성 폐렴의 사망위험은 유의하게 감소함을 보였다. 2단계 수축기 고혈압 군에서는 폐렴, 간경화 및 허혈성 장질환의 사망위험이 증가하는 것을 보였다. 혈압의 증가가 기존에 알려진 심뇌혈관 질환 이외의 사망위험도에도 연관된 것으로 보이며, 고혈압의 질병부담 연구 및 보건정책 수립시 이 같은 점에 대한 고려가 필요하다.

Citations

Citations to this article as recorded by

Binary cutpoint and the combined effect of systolic and diastolic blood pressure on cardiovascular disease mortality: A community-based cohort study
Ju-Yeun Lee, Ji Hoon Hong, Sangjun Lee, Seokyung An, Aesun Shin, Sue K. Park, Tariq Jamal Siddiqi
PLOS ONE.2022; 17(6): e0270510. CrossRef
Hypertension, the renin–angiotensin system, and the risk of lower respiratory tract infections and lung injury: implications for COVID-19
Reinhold Kreutz, Engi Abd El-Hady Algharably, Michel Azizi, Piotr Dobrowolski, Tomasz Guzik, Andrzej Januszewicz, Alexandre Persu, Aleksander Prejbisz, Thomas Günther Riemer, Ji-Guang Wang, Michel Burnier
Cardiovascular Research.2020; 116(10): 1688. CrossRef
Prevalence of hypertension, levels of lipids and blood glucose in patients with acute pancreatitis, chronic pancreatitis and pancreatic cancer
I. N. Grigorieva, O. V. Efimova, T. S. Suvorova, N. L. Tov, T. I. Romanova
Russian Journal of Cardiology.2020; 25(6): 3823. CrossRef

Author index